(3) Improving Representation Learning.
Online aware meta-learning (OML) [1]} uses a meta-learning objective to learn the sparse representation which easily adapts to new classes to mitigate catastrophic forgetting.
And other approaches instead aim to learn the generalisable representations [2]}, [3]}, [4]}. As the generalisable representation ideally should provide better support for not only the seen classes but also the unseen ones, hence it requires fewer tuning to optimise for the new classes and suffers less from forgetting.
